We're building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics.

We are looking for a Technical Project Manager to bridge the gap between strategic planning and hands-on development. You will help to manage our roadmap and refine our engineering processes. This is a role for someone with software engineering experience combined with organisational instinct, who thrives in a fast-paced environment; you will work alongside a highly collaborative engineering and product team, balancing strategic priorities and complex challenges, with rapid high-quality execution.

Useful experience

• Software engineering in a collaborative, commercial environment, working on large codebases and using practices like CI/CD, testing, and code reviews.

• Functional/typed languages, e.g. Rust, OCaml, Clojure, C++, or Haskell, and a willingness to learn and work with Ju